Antonia N. Kaczkurkin

The paper shows a gradient of decreased Hurst exponent (H) with increased psychopathology and ADHD scores in children, predicting working memory performance and resource allocation imbalances.

In five top neuroscience journals, papers with name-inferred first and last authors of color are under-cited, mostly by White-led teams, and the gap is growing.

This study identifies three neurocognitive subtypes of depression in youth using machine learning, showing distinct neural signatures despite similar clinical symptoms.

The paper evaluates bifactor and second-order models of psychopathology using ABCD Study data, finding both models have adequate psychometric properties but bifactor models offer clearer interpretation of associations with external variables.

This study identifies two neurobiologically distinct subtypes of youth with internalizing symptoms using structural brain imaging and machine learning.

The paper identifies brain-based dimensions of psychopathology using sCCA in youths, finding four dimensions linked to functional dysconnectivity that replicate in an independent dataset.

This study links accelerated cortical thinning in structural brain networks to irritability in youth, highlighting associations in emotion-related brain regions.

The paper examines the association between cortical thickness and impulsive choice in adolescents, finding reduced cortical thickness in specific brain regions linked to impulsive decision-making.